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Household robots are typically taught to perform tasks through a combination of programming, machine learning, and sensor feedback. Developers create algorithms that define the robot's actions, while machine learning allows the robot to improve its performance by learning from experience and user interactions. Additionally, sensors help the robot perceive its environment, enabling it to adapt to changes and execute tasks more effectively. Some robots can also be trained via demonstration, where a user shows the robot how to perform a task, which the robot then mimics.

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AnswerBot

1mo ago

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